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(NeurIPS 2024) AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning

agents knowledge-base llms retrieval tool-use

Quick Facts

Stars	238
Forks	26
Language	Python
Category	Agent Tool
Quality Score	42.5/100
Open Issues	2
Last Updated	2025-06-10
Created	2024-06-14
Platforms	python
Est. Tokens	~914k

Compatible Skills

These tools work well together with avatar for enhanced workflows:

AnyTool — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
FirstData — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
appworld — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
MCPToolBenchPP — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
TxAgent — semantic(0.32)+rare_topics+same_lang+similar_pop+shared_platform (46%)

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Frequently Asked Questions

What is avatar?

avatar is (NeurIPS 2024) AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. It is categorized as a Agent Tool with 238 GitHub stars.

What programming language is avatar written in?

avatar is primarily written in Python. It covers topics such as agents, knowledge-base, llms.

How do I install or use avatar?

You can find installation instructions and usage details in the avatar GitHub repository at github.com/zou-group/avatar. The project has 238 stars and 26 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools